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https://github.com/muschellij2/clever

Calculate Leverage of Component Models
https://github.com/muschellij2/clever

Last synced: 19 days ago
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Calculate Leverage of Component Models

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README

        

---
output: github_document
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# clever

[![Travis build status](https://travis-ci.org/mandymejia/clever.svg?branch=master)](https://travis-ci.org/github/mandymejia/clever)
[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/mandymejia/clever?branch=master&svg=true)](https://ci.appveyor.com/project/mandymejia/clever)
[![Coveralls test coverage](https://coveralls.io/repos/github/mandymejia/clever/badge.svg)](https://coveralls.io/r/mandymejia/clever?branch=master)

clever computes principal Components LEVERage (CLEVER) and robust distance, measures of outlyingness for high-dimensional data such as fMRI data.

## Installation

You can install the development version of clever from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("mandymejia/clever")
```

`clever` requires the `glmgen` package for PCA Trend Filtering (PCATF). Please see [https://github.com/glmgen/glmgen](https://github.com/glmgen/glmgen) for installation instructions.